IDEAS home Printed from https://ideas.repec.org/a/igg/jitwe0/v9y2014i1p31-44.html
   My bibliography  Save this article

A Novel Approach to Build a Generic Model of Photovoltaic Solar System Using Sound Biometric Techniques

Author

Listed:
  • Khalid T. Al-Sarayreh

    (Department of Software Engineering, Hashemite University, Zarqa, Jordan)

  • Kenza Meridji

    (Department of Software Engineering, Petra University, Amman, Jordan)

  • Ebaa Fayyoumi

    (Department Computer Science and Applications, Hashemite University, Zarqa, Jordan)

  • Sahar Idwan

    (Department Computer Science and Applications, Hashemite University, Zarqa, Jordan)

Abstract

This chapter presents the proposed model of combination between Photovoltaic solar system resources and sound biometric techniques, to generate power energy from the sunlight using the PVS controlled by a sound biometric technique. This work contributes to research knowledge by proposing and validating a sound biometric technique for allowing to reduce the consumption of the generated power energy by turn the lights on for the public roads only when there are vehicles on the way and only for some period of time to make the driving out of harm's way and trouble-free. The proposed and combination models between the PVS and biometric sound chip is used for generating electric power by using solar cells to convert energy from the sun light into a flow of direct current electricity, which can be used to power equipment or to recharge a battery. In addition the Sound biometric techniques can enable PVS to listen and understand their surrounding auditory environment since turning the lights on all the time will get through a lot of energy which it might be used in other significant concerns.

Suggested Citation

  • Khalid T. Al-Sarayreh & Kenza Meridji & Ebaa Fayyoumi & Sahar Idwan, 2014. "A Novel Approach to Build a Generic Model of Photovoltaic Solar System Using Sound Biometric Techniques," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 9(1), pages 31-44, January.
  • Handle: RePEc:igg:jitwe0:v:9:y:2014:i:1:p:31-44
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijitwe.2014010103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jitwe0:v:9:y:2014:i:1:p:31-44. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.